1. Comparison with subroutines

2. Comparison with threads

3. Comparison with generators

4. Comparison with mutual recursion

5. Common uses

6. Programming languages with native support

7. Implementations
    Implementations for C  Implementations for C++  Implementations for C#  Implementations for Clojure  Implementations for D  Implementations for Java   Implementations for Kotlin    Implementations in JavaScript   Implementation in Mono  Implementation in the .NET Framework as fibers  Implementations for Python  Implementations for Ruby  Implementations for Perl  Implementations for Rust  Implementations for Scala  Implementations for Smalltalk  Implementations for Scheme  Implementation for Tool Command Language (Tcl)  Implementations for Vala  Implementations in assembly languages 

8. See also

9. References

10. Further reading

11. External links

Coroutines are computer program components that generalize subroutines for non-preemptive multitasking, by allowing execution to be suspended and resumed. Coroutines are well-suited for implementing familiar program components such as cooperative tasks, exceptions, event loops, iterators, infinite lists and pipes.

According to Donald Knuth, Melvin Conway coined the term coroutine in 1958 when he applied it to construction of an assembly program. The first published explanation of the coroutine appeared later, in 1963.^[2]

Comparison with subroutines

Subroutines are special cases of coroutines.^[3] When subroutines are invoked, execution begins at the start, and once a subroutine exits, it is finished; an instance of a subroutine only returns once, and does not hold state between invocations. By contrast, coroutines can exit by calling other coroutines, which may later return to the point where they were invoked in the original coroutine; from the coroutine's point of view, it is not exiting but calling another coroutine.^[3] Thus, a coroutine instance holds state, and varies between invocations; there can be multiple instances of a given coroutine at once. The difference between calling another coroutine by means of "yielding" to it and simply calling another routine (which then, also, would return to the original point), is that the relationship between two coroutines which yield to each other is not that of caller-callee, but instead symmetric.

Any subroutine can be translated to a coroutine which does not call yield.^[5]

Here is a simple example of how coroutines can be useful. Suppose you have a consumer-producer relationship where one routine creates items and adds them to a queue and another removes items from the queue and uses them. For reasons of efficiency, you want to add and remove several items at once. The code might look like this:

 ''var'' q := new queue  '''coroutine''' produce     '''loop'''         '''while''' q is not full             create some new items             add the items to q         '''yield''' to consume  '''coroutine''' consume     '''loop'''         '''while''' q is not empty             remove some items from q             use the items         '''yield''' to produce

The queue is then completely filled or emptied before yielding control to the other coroutine using the yield command. The further coroutines calls are starting right after the yield, in the outer coroutine loop.

Although this example is often used as an introduction to multithreading, two threads are not needed for this: the yield statement can be implemented by a jump directly from one routine into the other.

Comparison with threads

Coroutines are very similar to threads. However, coroutines are cooperatively multitasked, whereas threads are typically preemptively multitasked. This means that coroutines provide concurrency but not parallelism. The advantages of coroutines over threads are that they may be used in a hard-realtime context (switching between coroutines need not involve any system calls or any blocking calls whatsoever), there is no need for synchronisation primitives such as mutexes, semaphores, etc. in order to guard critical sections, and there is no need for support from the operating system.

It is possible to implement coroutines using preemptively-scheduled threads, in a way that will be transparent to the calling code, but some of the advantages (particularly the suitability for hard-realtime operation and relative cheapness of switching between them) will be lost.

Comparison with generators

Generators, also known as semicoroutines,^[1] are a subset of coroutines. Specifically, while both can yield multiple times, suspending their execution and allowing re-entry at multiple entry points, they differ in coroutines' ability to control where execution continues immediately after they yield, while generators cannot, instead transferring control back to the generator's caller.^[2] That is, since generators are primarily used to simplify the writing of iterators, the yield statement in a generator does not specify a coroutine to jump to, but rather passes a value back to a parent routine.

However, it is still possible to implement coroutines on top of a generator facility, with the aid of a top-level dispatcher routine (a trampoline, essentially) that passes control explicitly to child generators identified by tokens passed back from the generators:

 '''generator''' produce     '''loop'''         '''while''' q is not full             create some new items             add the items to q         '''yield''' consume

 '''generator''' consume     '''loop'''         '''while''' q is not empty             remove some items from q             use the items         '''yield''' produce

 '''subroutine''' dispatcher     ''var'' d := new dictionary('''generator''' → '''iterator''')     d[produce] := '''start''' produce     d[consume] := '''start''' consume     ''var'' current := produce     '''loop'''         current := '''next''' d[current]

A number of implementations of coroutines for languages with generator support but no native coroutines (e.g. Python^[8] before 2.5) use this or a similar model.

Comparison with mutual recursion

Using coroutines for state machines or concurrency is similar to using mutual recursion with tail calls, as in both cases the control changes to a different one of a set of routines. However, coroutines are more flexible and generally more efficient. Since coroutines yield rather than return, and then resume execution rather than restarting from the beginning, they are able to hold state, both variables (as in a closure) and execution point, and yields are not limited to being in tail position; mutually recursive subroutines must either use shared variables or pass state as parameters. Further, each mutually recursive call of a subroutine requires a new stack frame (unless tail call elimination is implemented), while passing control between coroutines uses the existing contexts and can be implemented simply by a jump.

Common uses

Coroutines are useful to implement the following:

• State machines within a single subroutine, where the state is determined by the current entry/exit point of the procedure; this can result in more readable code compared to use of goto, and may also be implemented via mutual recursion with tail calls.
• Actor model of concurrency, for instance in video games. Each actor has its own procedures (this again logically separates the code), but they voluntarily give up control to central scheduler, which executes them sequentially (this is a form of cooperative multitasking).
• Generators, and these are useful for streams{{snd}}particularly input/output{{snd}}and for generic traversal of data structures.
• Communicating sequential processes where each sub-process is a coroutine. Channel inputs/outputs and blocking operations yield coroutines and a scheduler unblocks them on completion events. Alternatively, each sub-process may be the parent of the one following it in the data pipeline (or preceding it, in which case the pattern can be expressed as nested generators).
• Reverse communication, commonly used in mathematical software, wherein a procedure such as a solver, integral evaluator, ... needs the using process to make a computation, such as evaluating an equation or integrand.

Programming languages with native support

Coroutines originated as an assembly language method, but are supported in some high-level programming languages. Early examples include Simula^[3], Smalltalk, and Modula-2. More recent examples are Ruby, Lua, Julia, and Go.

• Aikido
• AngelScript
• BCPL
• Pascal (Borland Turbo Pascal 7.0 with uThreads module)
• BETA
• BLISS
• ChucK
• CLU
• D
• Dynamic C
• Erlang
• F#
• Factor
• GameMonkey Script
• GDScript (Godot's scripting language)
• Go
• Haskell^[4][5]
• High Level Assembly^[6]
• Icon
• Io
• JavaScript (since 1.7, standardized in ECMAScript 6)^[7] ECMAScript 2017 also includes await support.
• Julia^[8]
• Kotlin (since 1.1)^[9]
• Limbo
• Lua^[10]
• Lucid
• µC++
• MiniD
• Modula-2
• Nemerle
• Perl 5 (using the [https://metacpan.org/pod/Coro Coro module])
• Perl 6^[11]
• PHP (with [https://github.com/facebook/hiphop-php HipHop], native since PHP 5.5)
• Picolisp
• Prolog
• Python (since 2.5,^[12] with improved support since 3.3 and with explicit syntax since 3.5^[13])
• Ruby
• Sather
• Scheme
• Self
• Simula 67
• Smalltalk
• Squirrel
• Stackless Python
• SuperCollider^[14]
• Tcl (since 8.6)
• urbiscript

{{div col end}}

Since continuations can be used to implement coroutines, programming languages that support them can also quite easily support coroutines.

Implementations

In situations where a coroutine would be the natural implementation of a mechanism, but is not available, the typical response is to use a closure{{snd}}a subroutine with state variables (static variables, often boolean flags) to maintain an internal state between calls, and to transfer control to the correct point. Conditionals within the code result in the execution of different code paths on successive calls, based on the values of the state variables. Another typical response is to implement an explicit state machine in the form of a large and complex switch statement or via a goto statement, particularly a computed goto. Such implementations are considered difficult to understand and maintain, and a motivation for coroutine support.

Threads, and to a lesser extent fibers, are an alternative to coroutines in mainstream programming environments today. Threads provide facilities for managing the realtime cooperative interaction of simultaneously executing pieces of code. Threads are widely available in environments that support C (and are supported natively in many other modern languages), are familiar to many programmers, and are usually well-implemented, well-documented and well-supported. However, as they solve a large and difficult problem they include many powerful and complex facilities and have a correspondingly difficult learning curve. As such, when a coroutine is all that is needed, using a thread can be overkill.

One important difference between threads and coroutines is that threads are typically preemptively scheduled while coroutines are not. Because threads can be rescheduled at any instant and can execute concurrently, programs using threads must be careful about locking. In contrast, because coroutines can only be rescheduled at specific points in the program and do not execute concurrently, programs using coroutines can often avoid locking entirely. (This property is also cited as a benefit of event-driven or asynchronous programming.)

Since fibers are cooperatively scheduled, they provide an ideal base for implementing coroutines above.^[15] However, system support for fibers is often lacking compared to that for threads.

Implementations for C

In order to implement general-purpose coroutines, a second call stack must be obtained, which is a feature not directly supported by the C language. A reliable (albeit platform-specific) way to achieve this is to use a small amount of inline assembly to explicitly manipulate the stack pointer during initial creation of the coroutine. This is the approach recommended by Tom Duff in a discussion on its relative merits vs. the method used by Protothreads^[16]. On platforms which provide the POSIX sigaltstack system call, a second call stack can be obtained by calling a springboard function from within a signal handler^[17][18] to achieve the same goal in portable C, at the cost of some extra complexity. C libraries complying to POSIX or the Single Unix Specification (SUSv3) provided such routines as getcontext, setcontext, makecontext and swapcontext, but these functions were declared obsolete in POSIX 1.2008 ^[19].

Once a second call stack has been obtained with one of the methods listed above, the setjmp and longjmp functions in the standard C library can then be used to implement the switches between coroutines. These functions save and restore, respectively, the stack pointer, program counter, callee-saved registers, and any other internal state as required by the ABI, such that returning to a coroutine after having yielded restores all the state that would be restored upon returning from a function call.

Due to the lack of direct language support, many authors have written their own libraries for coroutines which hide the above details. Russ Cox's libtask library^[20] is a good example of this genre. It uses the context functions if they are provided by the native C library; otherwise it provides its own implementations for ARM, PowerPC, Sparc, and x86. Other notable implementations include libpcl,^[21] coro,^[22] lthread,^[23] libCoroutine,^[24] libconcurrency,^[25] libcoro,^[26] ribs2,^[27] libdill.^[28], libaco ^[29], and libco^[18].

In addition to the general approach above, several attempts have been made to approximate coroutines in C with combinations of subroutines and macros. Simon Tatham's contribution,^[30] based on Duff's device, is a notable example of the genre, and is the basis for Protothreads and similar implementations.^[31] In addition to Duff's objections^[16], Tatham's own comments provide a frank evaluation of the limitations of this approach: "As far as I know, this is the worst piece of C hackery ever seen in serious production code."^[30] The main shortcomings of this approximation are that, in not maintaining a separate stack frame for each coroutine, local variables are not preserved across yields from the function, it is not possible to have multiple entries to the function, and control can only be yielded from the top-level routine^[16].

Implementations for C++

• C++ coroutines TS (Technical Specification), a standard for C++ language extensions for a stackless subset of coroutine-like behaviour, is under development. Visual C++ and Clang already support major portions in the std::experimental namespace. coroutines Technical Specification
• Boost.Coroutine - created by Oliver Kowalke, is the official released portable coroutine library of boost since version 1.53. The library relies on Boost.Context and supports ARM, MIPS, PowerPC, SPARC and X86 on POSIX, Mac OS X and Windows.
• Boost.Coroutine2 - also created by Oliver Kowalke, is a modernized portable coroutine library since boost version 1.59. It takes advantage of C++11 features, but removes the support for symmetric coroutines.
• [https://github.com/mozy/mordor Mordor] - In 2010, Mozy open sourced a C++ library implementing coroutines, with an emphasis on using them to abstract asynchronous I/O into a more familiar sequential model.^[32]
• [https://github.com/jamboree/co2 CO2] - stackless coroutine based on C++ preprocessor tricks, providing await/yield emulation.
• [https://github.com/scummvm/scummvm/blob/master/common/coroutines.h ScummVM] - The ScummVM project implements a light-weight version of coroutines based on Simon Tatham's article.
• [https://github.com/tonbit/coroutine tonbit::coroutine] - C++11 single .h asymmetric coroutine implementation via ucontext / fiber
• Coroutines landed in Clang in May 2017, with libc++ implementation ongoing.^[33]
• [https://github.com/infinit/elle elle] by Docker

Implementations for C#

• [https://github.com/MindTouch/dream MindTouch Dream] - The MindTouch Dream REST framework provides an implementation of coroutines based on the C# 2.0 iterator pattern
• Caliburn - The Caliburn screen patterns framework for WPF uses C# 2.0 iterators to ease UI programming, particularly in asynchronous scenarios.
• Power Threading Library - The Power Threading Library by Jeffrey Richter implements an AsyncEnumerator that provides simplified Asynchronous Programming Model using iterator-based coroutines.
• The Unity game engine implements coroutines.
• [https://github.com/yevhen/Servelat-Pieces Servelat Pieces] - The Servelat Pieces project by Yevhen Bobrov provides transparent asynchrony for Silverlight WCF services and ability to asynchronously call any synchronous method. The implementation is based on Caliburn's Coroutines iterator and C# iterator blocks.
•   - The .NET 2.0+ Framework now provides semi-coroutine (generator) functionality through the iterator pattern and yield keyword.

C# 5.0 includes await syntax support.

Implementations for Clojure

[https://github.com/leonoel/cloroutine Cloroutine] is a third-party library providing support for stackless coroutines in Clojure. It's implemented as a macro, statically splitting an arbitrary code block on arbitrary var calls and emitting the coroutine as a stateful function.

Implementations for D

Generator makes it trivial to expose a fiber function as an InputRange, making any fiber compatible with existing range algorithms.

Implementations for Java

There are several implementations for coroutines in Java. Despite the constraints imposed by Java's abstractions, the JVM does not preclude the possibility.^[34] There are four general methods used, but two break bytecode portability among standards-compliant JVMs.

• Modified JVMs. It is possible to build a patched JVM to support coroutines more natively. The Da Vinci JVM has had patches created.^[35]
• Modified bytecode. Coroutine functionality is possible by rewriting regular Java bytecode, either on the fly or at compile time. Toolkits include Javaflow, Java Coroutines, and [https://github.com/offbynull/coroutines Coroutines].
• Platform-specific JNI mechanisms. These use JNI methods implemented in the OS or C libraries to provide the functionality to the JVM.{{citation needed|date=May 2014}}
• Thread abstractions. Coroutine libraries which are implemented using threads may be heavyweight, though performance will vary based on the JVM's thread implementation.

Implementations for Kotlin

[https://kotlinlang.org Kotlin] implements coroutines as part of a [https://github.com/Kotlin/kotlinx.coroutines first-party library].

Implementations in JavaScript

• [https://github.com/fibjs/fibjs Fibjs] - fibjs is a JavaScript runtime built on Chrome's V8 JavaScript engine. fibjs uses fibers-switch, sync style, and non-blocking I/O model to build scalable systems.
• Since ECMAScript 2015, stackless coroutine functionality through "generators" and yield expressions is provided.

Implementation in Mono

The Mono Common Language Runtime has support for continuations,^[36] from which coroutines can be built.

Implementation in the .NET Framework as fibers

During the development of the .NET Framework 2.0, Microsoft extended the design of the Common Language Runtime (CLR) hosting APIs to handle fiber-based scheduling with an eye towards its use in fiber-mode for SQL server.^[37] Before release, support for the task switching hook ICLRTask::SwitchOut was removed due to time constraints.^[38]

Consequently, the use of the fiber API to switch tasks is currently not a viable option in the .NET Framework.

Implementations for Python

• Python 2.5 implements better support for coroutine-like functionality, based on extended generators ([https://www.python.org/dev/peps/pep-0342/ PEP 342])
• Python 3.3 improves this ability, by supporting delegating to a subgenerator ([https://www.python.org/dev/peps/pep-0380/ PEP 380])
• Python 3.4 introduces a comprehensive asynchronous I/O framework as standardized in [https://www.python.org/dev/peps/pep-3156/ PEP 3156], which includes coroutines that leverage subgenerator delegation
• Python 3.5 introduces explicit support for coroutines with async/await syntax ([https://www.python.org/dev/peps/pep-0492/ PEP 0492]).
• Eventlet
• [https://github.com/python-greenlet/greenlet Greenlet]
• gevent
• [https://pypi.python.org/pypi/multitask multitask]
• chiral
• cogen
• Kamaelia
• [https://github.com/ironport/shrapnel/ Shrapnel]
• stackless python

Implementations for Ruby

• Ruby 1.9 supports coroutines natively which are implemented as fibers, which are semi-coroutines.^[39]
• An implementation by Marc De Scheemaecker
• Ruby 2.5 and higher supports coroutines natively which are implemented as fibers
• [https://gist.githubusercontent.com/98-f355-f1/9929888ef734a829a6ee670beb88f82e/raw/2dea9bba72a88982ea752da1db13e9d5f2451abb/coroutines.rb An implementation by Thomas W Branson]

Implementations for Perl

• [https://metacpan.org/module/Coro Coro]

Coroutines are natively implemented in all Perl 6 backends.^[40]

Implementations for Rust

There is a library for Rust that provides coroutines.^[41]

Generators are an experimental feature available in nightly rust that provides an implementation of coroutines with async/await.^[42]

Implementations for Scala

Scala Coroutines rely on the coroutine macro that transforms a normal block of code into a coroutine definition. Such a coroutine definition can be invoked with the call operation, which instantiates a coroutine frame. A coroutine frame can be resumed with the resume method, which resumes the execution of the coroutine's body, until reaching a yieldval keyword, which suspends the coroutine frame. Scala Coroutines also expose a snapshot method, which effectively duplicates the coroutine^[44]. A detailed descriptions of Scala coroutines with snapshots appeared at [https://www.researchgate.net/publication/326548610_Theory_and_Practice_of_Coroutines_with_Snapshots ECOOP 2018], along with their formal model.

Implementations for Smalltalk

Since, in most Smalltalk environments, the execution stack is a first-class citizen, coroutines can be implemented without additional library or VM support.

Implementations for Scheme

Since Scheme provides full support for continuations, implementing coroutines is nearly trivial, requiring only that a queue of continuations be maintained.

Implementation for Tool Command Language (Tcl)

Since version 8.6, the Tool Command Language supports coroutines in the core language.

Implementations for Vala

Vala implements native support for coroutines. They are designed to be used with a Gtk Main Loop, but can be used alone if care is taken to ensure that the end callback will never have to be called before doing, at least, one yield.

Implementations in assembly languages

Machine-dependent assembly languages often provide direct methods for coroutine execution. For example, in MACRO-11, the assembly language of the PDP-11 family of minicomputers, the “classic” coroutine switch is effected by the instruction "JSR PC,@(SP)+", which jumps to the address popped from the stack and pushes the current (i.e that of the next) instruction address onto the stack. On VAXen (in Macro-32) the comparable instruction is "JSB @(SP)+". Even on a Motorola 6809 there is the instruction "JSR [,S++]"; note the "++", as 2 bytes (of address) are popped from the stack. This instruction is much used in the (standard) 'monitor' Assist 09.

See also

• Generator (computer programming)
• Pipeline (Unix), a kind of coroutine used for communicating between programs^[56]
• Protothreads, a stackless lightweight thread implementation using a coroutine like mechanism

References

Further reading

• {{cite journal|citeseerx=10.1.1.58.4017|author1=Ana Lucia de Moura|author2=Roberto Ierusalimschy|title=Revisiting Coroutines|journal=ACM Transactions on Programming Languages and Systems|volume=31|issue=2|pages=1–31|year=2004|doi=10.1145/1462166.1462167}}

External links

• Simon Tatham's C oriented comprehensive introduction to coroutines
• Softpanorama coroutine page{{snd}}contains extensive assembler coroutines links

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